Yan Weilong (闫威龙)

I am a Ph.D. student majoring in Electrical and Computer Engineering (ECE) at National University of Singapore (NUS), supervised by Prof. Robby T. Tan. Before that, I received my bachelor degree from Yingcai Honors College, in University of Electronic Science and Technology of China (UESTC), majoring in Electronic Information Engineering and supervised by Prof. Liu Shuaicheng and Prof. Cheng Hong.

I have research interests in robotics and computer vision. My current research focuses on geometric 3D vision, particularly motion and depth, 3D/4D reconstruction. Feel free to contact me!

Email: 1092443660ywl@gmail.com

Github  /  Xiaohongshu  /  Google Scholar

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News

[Feb. 2025] "Synthetic-to-Real Self-supervised Robust Depth Estimation via Learning with Motion and Structure Priors" is accepted by CVPR 2025!

[Jul. 2023] "Deep Homography Mixture for Single Image Rolling Shutter Correction" is accepted by ICCV 2023!

[Jan. 2023] "Event-Triggered Learning Robust Tracking Control of Robotic Systems With Unknown Uncertainties" is accepted by TCAS-II!

Publications

PVChat: Personalized Video Chat with One-Shot Learning
Yufei Shi*, Weilong Yan*, Gang Xu, Yumeng Li, Yuchen Li, Zhenxi Li, Fei Richard Yu, Ming Li, Si Yong Yeo
preprint, 2025
PDF  /  Code

The first personalized ViLLM that enables subject-aware question answering (QA) from a single video for each subject.

Synthetic-to-Real Self-supervised Robust Depth Estimation via Learning with Motion and Structure Priors
Weilong Yan, Ming Li, Haipeng Li, Shuwei Shao, Robby T. Tan
CVPR, 2025
PDF  /  Code

A synthetic-to-real self-supervised depth estimation method leveraging motion and scene priors, from daytime to adverse conditions.

Deep Homography Mixture for Single Image Rolling Shutter Correction
Weilong Yan, Robby T. Tan, Bing Zeng, Shuaicheng Liu
ICCV, 2023
PDF  /  Code

We propose a deep homography mixture model using learned motion bases from natural video data to correct rolling shutter distortion.

Event-Triggered Learning Robust Tracking Control of Robotic Systems With Unknown Uncertainties
Zhinan Peng, Weilong Yan, Rui Huang, Hong Cheng, Kaibo Shi, Bijoy Kumar Ghosh
IEEE TCAS-II, 2023
PDF

This work addresses tracking control of robotic systems with unmatched uncertainty using adaptive dynamic planning (ADP).

Academic Services

Serve as a reviewer for CVPR 24, 25; ECCV 24; AAAI 25; ICCV 25; IROS 25; TMLR.

Serve as a graduate assistant for EE2211 (2024, 2025), EE5201 (2024).


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